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Next Generation Microarray Bioinformatics

Volume 802 of the series Methods in Molecular Biology pp 19-39

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The KEGG Databases and Tools Facilitating Omics Analysis: Latest Developments Involving Human Diseases and Pharmaceuticals

  • Masaaki KoteraAffiliated withBioinformatics Center, Institute for Chemical Research, Kyoto University Email author 
  • , Mika HirakawaAffiliated withBioinformatics Center, Institute for Chemical Research, Kyoto University
  • , Toshiaki TokimatsuAffiliated withBioinformatics Center, Institute for Chemical Research, Kyoto University
  • , Susumu GotoAffiliated withBioinformatics Center, Institute for Chemical Research, Kyoto University
  • , Minoru KanehisaAffiliated withBioinformatics Center, Institute for Chemical Research, Kyoto University

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Abstract

In this chapter, we demonstrate the usability of the KEGG (Kyoto encyclopedia of genes and genomes) databases and tools, especially focusing on the visualization of the omics data. The desktop application KegArray and many Web-based tools are tightly integrated with the KEGG knowledgebase, which helps visualize and interpret large amount of data derived from high-throughput measurement techniques including microarray, metagenome, and metabolome analyses. Recently developed resources for human disease, drug, and plant research are also mentioned.

Key words

Pathway map KEGG orthology BRITE hierarchy KEGG API KegArray